Implementation of ERFNet by chainer
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Updated
Nov 15, 2017 - Python
Implementation of ERFNet by chainer
Lane Detection and Classification system using Cascaded CNNs (ERFNet & LCNet). Performs real-time lane segmentation and type classification (continuous, dashed) with high accuracy.
Semantic segmentation with Convolutional Neural Networks
🤖 Explore reinforcement learning techniques with projects including a taxi agent using Q-Learning and a DQN-based Space Invaders agent.
Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino
Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation
[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels
A PyTorch implementation for ERFNet on Pascal VOC data.
Panoramic Annular Semantic Segmentation
Paddle Implementation for 2020 China Hualu Cup Data Lake Algorithm Competition co-hosted with Baidu AI (1st Place for Lane Detection Track) 2020中国华录杯·数据湖算法大赛(百度AI协办)—车道线识别赛道
segmentation repo using pytorch
Pytorch code for semantic segmentation using ERFNet
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
常用的语义分割架构结构综述以及代码复现
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
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